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Educational and Psychological Measurement
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Letter

Using the Standardized Letters of Recommendation in Selection

Results From a Multidimensional Rasch Model

Ou Lydia Liu

Educational Testing Service, Princeton, LLiu{at}ets.org

Jennifer Minsky

Educational Testing Service, Princeton

Guangming Ling

Educational Testing Service, Princeton

Patrick Kyllonen

Educational Testing Service, Princeton

In an effort to standardize academic application procedures, the authors developed the Standardized Letters of Recommendation (SLR) to capture important cognitive and noncognitive qualities of graduate school candidates. The SLR, which consists of seven scales, is applied to an intern-selection scenario. Both professor ratings (n = 414) during the application process and mentor ratings of the selected students (n = 51) are collected using the SLR. A multidimensional Rasch investigation suggests that the SLR displays satisfactory internal consistency, model fit, and item fit. The two cognitive scales, knowledge and analytical skills, are found to be the best predictors for intern selection. The professor ratings are systematically higher than the mentor ratings. Possible reasons for the rating discrepancies are discussed. Also, implications for how the SLR can be used and improved in other selection situations are suggested.

Key Words: academic selection • cognitive and noncognitive factors • multidimensional Rasch model • standardized letters of recommendation

This version was published on June 1, 2009

Educational and Psychological Measurement, Vol. 69, No. 3, 475-492 (2009)
DOI: 10.1177/0013164408322031
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